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Bergman Kernel and Pluripotential Theory

Zbigniew B locki

Uniwersytet Jagiello´ nski, Krak´ ow, Poland http://gamma.im.uj.edu.pl/ eblocki

Geometric invariance and nonlinear PDE

Kioloa, February 9-14, 2014

(2)

Bergman Completeness

Ω bounded domain in C

n

H

2

(Ω) = O(Ω) ∩ L

2

(Ω) K

(·, ·) Bergman kernel

f (w ) = Z

f K

(·, w ) d λ, w ∈ Ω, f ∈ H

2

(Ω)

K

(w ) = K

(w , w )

= sup{|f (w )|

2

: f ∈ H

2

(Ω), ||f || ≤ 1}

Ω is called Bergman complete if it is complete w.r.t. the Bergman

metric B

= i ∂ ¯ ∂ log K

(3)

Kobayashi Criterion (1959) If

w →∂Ω

lim

|f (w )|

2

K

(w ) = 0, f ∈ H

2

(Ω), then Ω is Bergman complete.

The opposite is not true even for n = 1 (Zwonek, 2001).

Kobayashi Criterion easily follows using the embedding ι : Ω 3 w 7−→ [K

(·, w )] ∈ P(H

2

(Ω)) and the fact that ι

ω

FS

= B

.

Since ι is distance decreasing,

dist

B

(z, w ) ≥ arccos |K

(z, w )|

pK

(z)K

(w ) .

(4)

Some Pluripotential Theory

Ω is called hyperconvex if it admits a negative plurisubharmonic (psh) exhaustion function (u ∈ PSH

(Ω) s.th. u = 0 on ∂Ω).

Demailly (1985) If Ω is pseudoconvex with Lipschitz boundary then it is hyperconvex.

Pluricomplex Green function For a pole w ∈ Ω we set

G

(·, w ) = G

w

= sup{v ∈ PSH

(Ω) : v ≤ log | · −w | + C } Lempert (1981) Ω convex ⇒ G

symmetric

Demailly (1985) Ω hyperconvex ⇒ e

G

∈ C ( ¯ Ω × Ω) Open Problem e

G

∈ C ( ¯ Ω × ¯ Ω \ ∆

∂Ω

)

Equivalently: G (·, w

k

) → 0 loc. uniformly as w

k

→ ∂Ω?

True if ∂Ω ∈ C

2

(Herbort, 2000)

(5)

Demailly (1985) If Ω is hyperconvex then G

w

= G

(·, w ) is the unique solution to

 

 

 

 

u ∈ PSH(Ω) ∩ C ( ¯ Ω \ {w }) (dd

c

u)

n

= (2π)

n

δ

w

u = 0 on ∂Ω u ≤ log | · −w | + C

B. (1995) If Ω is hyperconvex then ∃! u = u

s.th.

 

 

u ∈ PSH(Ω) ∩ C ( ¯ Ω) (dd

c

u)

n

= 1 d λ u = 0 on ∂Ω.

Open Problem u ∈ C

(Ω)

Pogorelov (1971) True for the analogous solution of the real

Monge-Amp` ere equation (for any bounded convex domain in R

n

without any regularity assumptions).

(6)

B.-Y. Chen, Pflug - B. (1998) / Herbort (1999) Hyperconvex domains are Bergman complete Herbort If Ω is pseudoconvex then

|f (w )|

2

K

(w ) ≤ c

n

Z

{Gw<−1}

|f |

2

d λ, w ∈ Ω, f ∈ H

2

(Ω).

Corollary lim

w →∂Ω

λ({G

w

< −1}) = 0 ⇒ Ω is Bergman complete Proposition If Ω is hyperconvex then

w →∂Ω

lim ||G

w

||

Ln(Ω)

= 0.

Sketch of proof ||G

w

||

nn

= R

|G

w

|

n

(dd

c

u

)

n

≤ n!||u

||

n−1

Z

|u

|(dd

c

G

w

)

n

≤ C (n, λ(Ω)) |u

(w )|

(7)

Lower Bound for the Bergman Distance

Diederich-Ohsawa (1994), B. (2005) If Ω is pseudoconvex with C

2

boundary then

dist

B

(·, w ) ≥ log δ

−1

C log log δ

−1

, where δ

(z) = dist

(z, ∂Ω).

Pluripotential theory is the main tool in proving this estimate, in particular we have the following:

B. (2005) If Ω is pseudoconvex and z, w ∈ Ω are such that {G

z

< −1} ∩ {G

w

< −1} = ∅

then

dist

B

(z, w ) ≥ c

n

> 0.

Open Problem dist

B

(·, w ) ≥

C1

log δ

−1

(8)

From Herbort’s estimate

|f (w )|

2

K

(w ) ≤ c

n

Z

{Gw<−1}

|f |

2

d λ, w ∈ Ω, f ∈ H

2

(Ω),

for f ≡ 1 we get

K

(w ) ≥ 1

c

n

λ({G

w

< −1}) .

To find the optimal constant c

n

here turns out to have very interesting consequences!

Herbort (1999) c

n

= 1 + 4e

4n+3+R2

, where Ω ⊂ B(z

0

, R) (Main tool: H¨ ormander’s estimate for ¯ ∂) B. (2005) c

n

= (1 + 4/Ei (n))

2

, where Ei (t) =

Z

∞ t

ds se

s

(Main tool: Donnelly-Fefferman’s estimate for ¯ ∂)

(9)

Suita Conjecture

D bounded domain in C c

D

(z) := exp lim

ζ→z

(G

D

(ζ, z) − log |ζ − z|)

(logarithmic capacity of C \ D w.r.t. z) c

D

|dz| is an invariant metric (Suita metric)

Curv

cD|dz|

= − (log c

D

)

z ¯z

c

D2

Suita Conjecture (1972): Curv

cD|dz|

≤ −1

• “=” if D is simply connected

• “<” if D is an annulus (Suita)

• Enough to prove for D with smooth boundary

• “=” on ∂D if D has smooth boundary

(10)

-5 -4 -3 -2 -1

-7 -6 -5 -4 -3 -2 -1

Curv

cD|dz|

for D = {e

−5

< |z| < 1} as a function of log |z|

(11)

-5 -4 -3 -2 -1

-6 -5 -4 -3 -2 -1

Curv

(log KD)z ¯z|dz|2

for D = {e

−5

< |z| < 1} as a function of log |z|

(12)

2

∂z∂¯ z (log c

D

) = πK

D

(Suita) Therefore the Suita conjecture is equivalent to

c

D2

≤ πK

D

.

Ohsawa (1995) observed that it is really an extension problem: for z ∈ D find holomorphic f in D such that f (z) = 1 and

Z

D

|f |

2

d λ ≤ π (c

D

(z))

2

.

Using the methods of the Ohsawa-Takegoshi extension theorem he showed the estimate

c

D2

≤ C πK

D

with C = 750.

C = 2 (B., 2007)

C = 1.95388 . . . (Guan-Zhou-Zhu, 2011)

(13)

Ohsawa-Takegoshi extension theorem (1987) with optimal constant (B., 2013)

0 ∈ D ⊂ C, Ω ⊂ C

n−1

× D, Ω pseudoconvex, ϕ ∈ PSH(Ω)

f holomorphic in Ω

0

:= Ω ∩ {z

n

= 0}

Then there exists a holomorphic extension F of f to Ω such that Z

|F |

2

e

−ϕ

d λ ≤ π c

D

(0)

2

Z

0

|f |

2

e

−ϕ

d λ

0

.

For n = 1 and ϕ ≡ 0 we get the Suita conjecture.

Main tool: H¨ ormander’s estimate for ¯ ∂

B.-Y. Chen (2011) proved that the Ohsawa-Takegoshi theorem

(without optimal constant) follows form H¨ ormander’s estimate.

(14)

Tensor Power Trick

We have

K

(w ) ≥ 1

c

n

λ({G

w

< −1}) where c

n

= (1 + 4/Ei (n))

2

.

Take m  0 and set e Ω := Ω

m

⊂ C

nm

, w := (w , . . . , w ). Then e K

e

( w ) = (K e

(w ))

m

, λ

2nm

({G

we

< −1}) = (λ

2n

({G

w

< −1})

m

. Therefore

K

(w ) ≥ 1

c

nm1/m

λ({G

w

< −1}) but

m→∞

lim c

nm1/m

= e

2n

.

(15)

Repeating this argument for any sublevel set we get

Theorem 1 Assume Ω is pseudoconvex in C

n

. Then for a ≥ 0 and w ∈ Ω

K

(w ) ≥ 1

e

2na

λ({G

w

< −a}) .

Lempert recently noticed that this estimate can also be proved using Berndtsson’s result on positivity of direct image bundles.

What happens when a → ∞?

For n = 1 we get K

≥ c

2

/π (another proof of Suita conjecture).

For n ≥ 1 and Ω convex using Lempert’s theory one can obtain:

Theorem 2 If Ω is a convex domain in C

n

then for w ∈ Ω K

(w ) ≥ 1

λ(I

(w )) ,

I

(w ) = {ϕ

0

(0) : ϕ ∈ O(∆, Ω), ϕ(0) = w } (Kobayashi indicatrix).

(16)

Mahler Conjecture

K - convex symmetric body in R

n

K

0

:= {y ∈ R

n

: x · y ≤ 1 for every x ∈ K } Mahler volume := λ(K )λ(K

0

)

Mahler volume is an invariant of the Banach space defined by K : it is independent of linear transformations and of the choice of inner product.

Santal´ o Inequality (1949) Mahler volume is maximized by balls Mahler Conjecture (1938) Mahler volume is minimized by cubes Hansen-Lima bodies: starting from an interval they are produced by taking products of lower dimensional HL bodies and their duals.

n = 2: square

n = 3: cube & octahedron

n = 4: . . .

(17)

Bourgain-Milman (1987) There exists c > 0 such that λ(K )λ(K

0

) ≥ c

n

4

n

n! . Mahler Conjecture: c = 1

G. Kuperberg (2006) c = π/4 Nazarov (2012)

I

equivalent SCV formulation of the Mahler Conjecture via the Fourier transform and the Paley-Wiener theorem

I

proof of the Bourgain-Milman Inequality (c = (π/4)

3

) using

H¨ ormander’s estimate for ¯ ∂

(18)

K - convex symmetric body in R

n

Nazarov: consider T

K

:= intK + i R

n

⊂ C

n

. Then

 π 4



2n

1

n

(K ))

2

≤ K

TK

(0) ≤ n!

π

n

λ

n

(K

0

) λ

n

(K ) . Therefore

λ

n

(K )λ

n

(K

0

) ≥  π 4



3n

4

n

n! . To show the lower bound we can use Theorem 2:

K

TK

(0) ≥ 1 λ

2n

(I

TK

(0)) .

Proposition I

TK

(0) ⊂ 4

π (K + iK ) In particular, λ

2n

(I

TK

(0)) ≤  4

π



2n

n

(K ))

2

Conjecture λ

2n

(I

TK

(0)) ≤  4 π



n

n

(K ))

2

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